Facilitation of flexible platform user interfaces

ABSTRACT

In response to a user identity request, a system can receive user identity data associated with the user identity from a first mobile device. Based on the user identity data, the system can allocate an interface template to the user identity, wherein the interface template comprises scorecard data, from a second mobile device, associated with a scoring parameter related to an input field of the interface template. Furthermore, the system can prompt an input, via the first mobile device, to the input field of the interface template. Additionally, in response to receiving input data associated with the input, the system can compare the input data to the scoring parameter.

RELATED APPLICATIONS

The subject patent application is a continuation of, and claims priorityto each of, U.S. patent application Ser. No. 17/216,589, filed Mar. 29,2021, and entitled “FACILITATION OF FLEXIBLE PLATFORM USER INTERFACES,”which is a continuation of U.S. patent application Ser. No. 15/940,488(now U.S. Pat. No. 10,996,933), filed Mar. 29, 2018, and entitled“FACILITATION OF FLEXIBLE PLATFORM USER INTERFACES,” the entireties ofwhich priority applications are hereby incorporated by reference herein.

TECHNICAL FIELD

This disclosure relates generally to facilitating user interfaces via acloud-based platform. More specifically, this disclosure relates tofacilitating an application service and data analytics based on datainputs in the platform and user interface interaction.

BACKGROUND

In a software as a service (SaaS) model, users gain access toapplication software and databases. Cloud providers manage theinfrastructure and platforms that run the applications. SaaS issometimes referred to as “on-demand software” and can be priced on apay-per-use basis or using a subscription fee. In the SaaS model, cloudproviders install and operate application software in the cloud andcloud users access the software from cloud clients. Cloud users do notmanage the cloud infrastructure and platform where the application runs.This eliminates the need to install and run the application on the clouduser's own computers, which simplifies maintenance and support. Cloudapplications differ from other applications in their scalability, whichcan be achieved by cloning tasks onto multiple virtual machines atrun-time to meet changing work demand. Load balancers can distribute thework over a set of virtual machines. This process is transparent to thecloud user, who sees only a single access-point. To accommodate a largenumber of cloud users, cloud applications can be multitenant, meaningthat any machine can serve more than one cloud-user organization.

The above-described background relating to a SaaS is merely intended toprovide a contextual overview of some current issues, and is notintended to be exhaustive. Other contextual information may becomefurther apparent upon review of the following detailed description.

BRIEF DESCRIPTION OF THE DRAWINGS

Non-limiting and non-exhaustive embodiments of the subject disclosureare described with reference to the following figures, wherein likereference numerals refer to like parts throughout the various viewsunless otherwise specified.

FIG. 1 illustrates an example wireless network comprising a software asa service platform for collaborative digital portfolio user interfacesaccording to one or more embodiments.

FIG. 2 illustrates an example wireless network comprising a software asa service platform for collaborative digital portfolio user interfacesaccording to one or more embodiments.

FIG. 3 illustrates an example wireless network comprising a software asa service platform for collaborative digital portfolio user interfacesaccording to one or more embodiments.

FIG. 4 illustrates an example wireless network comprising a software asa service platform for collaborative digital portfolio user interfaceswith viewer analytics capabilities according to one or more embodiments.

FIG. 5 illustrates an example wireless network comprising a software asa service platform for collaborative digital portfolio user interfacesutilizing an account termination procedure according to one or moreembodiments.

FIG. 6 illustrates an example schematic system block diagram forartificial intelligence related to a software as a service platform forcollaborative digital portfolio user interfaces according to one or moreembodiments.

FIG. 7 illustrates an example schematic system flow diagram for asoftware as a service for collaborative digital portfolio userinterfaces according to one or more embodiments.

FIG. 8 illustrates an example schematic system block diagram forcollaborative digital portfolio user interfaces according to one or moreembodiments.

FIG. 9 illustrates an example schematic method block diagram forcollaborative digital portfolio user interfaces according to one or moreembodiments.

FIG. 10 illustrates an example schematic machine-readable medium blockdiagram for collaborative digital portfolio user interfaces according toone or more embodiments.

FIG. 11 illustrates an example block diagram of an example mobilehandset operable to engage in a system architecture that facilitatessecure wireless communication according to one or more embodimentsdescribed herein.

FIG. 12 illustrates an example block diagram of an example computeroperable to engage in a system architecture that facilitates securewireless communication according to one or more embodiments describedherein.

DETAILED DESCRIPTION

In the following description, numerous specific details are set forth toprovide a thorough understanding of various embodiments. One skilled inthe relevant art will recognize, however, that the techniques describedherein can be practiced without one or more of the specific details, orwith other methods, components, materials, etc. In other instances,well-known structures, materials, or operations are not shown ordescribed in detail to avoid obscuring certain aspects.

Reference throughout this specification to “one embodiment,” or “anembodiment,” means that a particular feature, structure, orcharacteristic described in connection with the embodiment is includedin at least one embodiment. Thus, the appearances of the phrase “in oneembodiment,” “in one aspect,” or “in an embodiment,” in various placesthroughout this specification are not necessarily all referring to thesame embodiment. Furthermore, the particular features, structures, orcharacteristics may be combined in any suitable manner in one or moreembodiments.

As utilized herein, terms “component,” “system,” “interface,” and thelike are intended to refer to a computer-related entity, hardware,software (e.g., in execution), and/or firmware. For example, a componentcan be a processor, a process running on a processor, an object, anexecutable, a program, a storage device, and/or a computer. By way ofillustration, an application running on a server and the server can be acomponent. One or more components can reside within a process, and acomponent can be localized on one computer and/or distributed betweentwo or more computers.

Further, these components can execute from various machine-readablemedia having various data structures stored thereon. The components cancommunicate via local and/or remote processes such as in accordance witha signal having one or more data packets (e.g., data from one componentinteracting with another component in a local system, distributedsystem, and/or across a network, e.g., the Internet, a local areanetwork, a wide area network, etc. with other systems via the signal).

As another example, a component can be an apparatus with specificfunctionality provided by mechanical parts operated by electric orelectronic circuitry; the electric or electronic circuitry can beoperated by a software application or a firmware application executed byone or more processors; the one or more processors can be internal orexternal to the apparatus and can execute at least a part of thesoftware or firmware application. As yet another example, a componentcan be an apparatus that provides specific functionality throughelectronic components without mechanical parts; the electroniccomponents can include one or more processors therein to executesoftware and/or firmware that confer(s), at least in part, thefunctionality of the electronic components. In an aspect, a componentcan emulate an electronic component via a virtual machine, e.g., withina cloud computing system.

The words “exemplary” and/or “demonstrative” are used herein to meanserving as an example, instance, or illustration. For the avoidance ofdoubt, the subject matter disclosed herein is not limited by suchexamples. In addition, any aspect or design described herein as“exemplary” and/or “demonstrative” is not necessarily to be construed aspreferred or advantageous over other aspects or designs, nor is it meantto preclude equivalent exemplary structures and techniques known tothose of ordinary skill in the art. Furthermore, to the extent that theterms “includes,” “has,” “contains,” and other similar words are used ineither the detailed description or the claims, such terms are intendedto be inclusive—in a manner similar to the term “comprising” as an opentransition word—without precluding any additional or other elements.

As used herein, the term “infer” or “inference” refers generally to theprocess of reasoning about, or inferring states of, the system,environment, user, and/or intent from a set of observations as capturedvia events and/or data. Captured data and events can include user data,device data, environment data, data from sensors, sensor data,application data, implicit data, explicit data, etc. Inference can beemployed to identify a specific context or action, or can generate aprobability distribution over states of interest based on aconsideration of data and events, for example.

Inference can also refer to techniques employed for composinghigher-level events from a set of events and/or data. Such inferenceresults in the construction of new events or actions from a set ofobserved events and/or stored event data, whether the events arecorrelated in close temporal proximity, and whether the events and datacome from one or several event and data sources. Various classificationschemes and/or systems (e.g., support vector machines, neural networks,expert systems, Bayesian belief networks, fuzzy logic, and data fusionengines) can be employed in connection with performing automatic and/orinferred action in connection with the disclosed subject matter.

In addition, the disclosed subject matter can be implemented as amethod, apparatus, or article of manufacture using standard programmingand/or engineering techniques to produce software, firmware, hardware,or any combination thereof to control a computer to implement thedisclosed subject matter. The term “article of manufacture” as usedherein is intended to encompass a computer program accessible from anycomputer-readable device, computer-readable carrier, orcomputer-readable media. For example, computer-readable media caninclude, but are not limited to, a magnetic storage device, e.g., harddisk; floppy disk; magnetic strip(s); an optical disk (e.g., compactdisk (CD), a digital video disc (DVD), a Blu-ray Disc™ (BD)); a smartcard; a flash memory device (e.g., card, stick, key drive); and/or avirtual device that emulates a storage device and/or any of the abovecomputer-readable media.

As an overview, various embodiments are described herein to facilitate asoftware as a service platform between mobile devices and networkdevices.

For simplicity of explanation, the methods are depicted and described asa series of acts. It is to be understood and appreciated that thevarious embodiments are not limited by the acts illustrated and/or bythe order of acts. For example, acts can occur in various orders and/orconcurrently, and with other acts not presented or described herein.Furthermore, not all illustrated acts may be required to implement themethods. In addition, the methods could alternatively be represented asa series of interrelated states via a state diagram or events.Additionally, the methods described hereafter are capable of beingstored on an article of manufacture (e.g., a machine-readable storagemedium) to facilitate transporting and transferring such methodologiesto computers. The term article of manufacture, as used herein, isintended to encompass a computer program accessible from anycomputer-readable device, carrier, or media, including a non-transitorymachine-readable storage medium or a machine-readable storage medium.

Described herein are systems, methods, articles of manufacture, andother embodiments or implementations that can facilitate collaborativedigital portfolio user interfaces. Facilitating collaborative digitalportfolio user interfaces can be implemented in connection with any typeof device with a connection to the communications network such as: amobile handset, a computer, a handheld device, a laptop, or the like.

The digital portfolio system can generate an email based on user databeing loaded into the digital portfolio system, and send an electronictemplate to the user based on the user data. The digital portfoliosystem can also cross-reference the templates against an email list todetermine which email user should receive a specific template (e.g.,professional template, athlete template, student template, etc.). Thetemplate can be edited by the user to generate his/her portfolio. Theportfolio (a.k.a. digital portfolio, profile, user profile, useridentity) can further be edited with user data to target specificschools or professions. The digital profile can also be used as adigital business card. Furthermore, the terms of service can bedifferent based on a criterion of the user of the user profile. Forexample, parents of minor children can accept the terms of service ofuser profiles created for minors because minors cannot legally execute acontract.

Additionally, the user can pick several templates, from which to buildhis/her digital portfolio, to be associated with their user identity.For example, if the student is an athlete, then the student can buildtheir profile based on the student template and the athlete template.However, once a condition has been satisfied (e.g., user age change,employment change, season, life event, etc.), the template canautomatically convert to another template and/or amend categoricalfields and/or data. For example, if a student in college reaches the ageof twenty-one, when most college students graduate and pursue a career,the template can automatically be converted to a professional template.Although the professional template can comprise the same and/or similardemographic and/or personal information associated with the collegestudent, specific fields can be converted to fields relevant to thecollege student's profession. For example, scholastic factors and/oraffiliations (e.g., standardized aptitude test (SAT), extracurricularactivities, fraternity/sorority organization, etc.) can be converted tofields professional certifications and/or affiliations (e.g., State Barpassage, Six Sigma, National Bar Association, certifications, etc.) oncethe college student reaches the age of twenty-one.

Alternatively, information that is relevant to the college student'scollege matriculation and professional career can be automaticallytransferred to the professional template and populated under the correctfield. For example, if a college student's major is electricalengineering, then his/her major can also be transferred to his/herprofessional template as he/she will possibly be looking for employmentin the electrical engineering industry. Additionally, the system canprovide the college student with a pre-populated view (e.g., indicatingdata and/or fields to be removed, data and/or fields to be updated,and/or data and/or fields to remain the same) of what his/her profilecan look like once fully converted to a professional profile.Consequently, the student can decide whether to keep a field to beauto-populated or not. The student can also decide to add or removefields from a template based on the student's needs.

In one or more alternative embodiments, a moderator can set criteria fora user (e.g., student, athlete, professional, etc.) of the system and acontributor (e.g., college admissions, coach, employer, etc.). Forexample, if a coach is looking to recruit a high school student baseballplayer that is a pitcher with at least a 3.5 grade point average (GPA),then the coach (e.g., contributor) can set this as criteria within amoderator portal. These criteria can then modify the parameters of theathlete template so that GPA and athletic position become fields of theathlete template, thus prompting all new users to enter their respectiveGPAs and athletic positions. Additionally, noting that some previoususers may not have had to enter their GPA and/or athletic positions, anautomated email can be generated and sent to the previous users alertingthem that one or more new fields have been updated within the athletictemplate and prompting them add the additional information regardingtheir GPA and/or athletic position. All information can be stored in adatabase and accessible via the moderator portal to identify studentathletes that meet his/her criteria.

The matching of templates can be based on how the user completes theirregistration profile. Additionally, the templates can be pulled fromvarious templates to make a profile for a user. For example, the usercan receive a primary digital portfolio with x number of templates.However, the user can make up their digital portfolio based on anychoice of the templates (e.g., student, athlete, professional).Consequently, the templates provided for a student can all be versionspecific. For instance, a student can receive one version of a templatethat can apply across his/her digital profile, an athlete can receiveanother version that can apply across his/her profile, and aprofessional can receive yet another version that can apply acrosshis/her profile. Based on whether the user is defined as a student,athlete, or professional, the templates can be more reflective of such.For example, a version geared toward the professional, can generate atemplate that takes a deep dive into his/her professional qualificationsand only present certain aspects of their student and/or athlete pagesthat are of a level to support the fact that the overall profile istailored toward professional experiences in this particular situation.Thus, a profile for a professional can contain 60% professionalinformation, 20% student information, and 20% athletic information.Conversely, a profile for a professional can comprise 100% professionaldata and no other template data. It should be noted that any combinationand any percentage value is possible.

In one or more other embodiments, marketing can be automatically pushedto a user based on his/her profile and/or the user's interests. Forexample, if the system analyzes a user's profile and determines that theuser is a Six Sigma Greenbelt, the system can send automated marketingto the user to ask the user if the user would like to take his/her BlackBelt Certification Exam.

In one or more other embodiments, suggestions regarding collaboratorsand/or other relevant information can be sent to the user based onhis/her registration data. For example, if a user is applying for a jobwith high schools as a guidance counselor, and the system determinesthat the user's qualifications, as based on their profile data, iswithin a defined degree (e.g., 20 percent) of relevancy to otherpositions (e.g., college football coach), then the system can suggest tothe user that the user also apply for the other position(s) (e.g.,college football coach) as well.

Weights (e.g., scorecard data) can also be assigned to the variousfields of the user profile, such that the fields can each have anassociated weight (e.g., score) based on how the user has answeredand/or based on how one or more administrators might weight that answer.For example, a college looking for a star basketball player can weightthe height (e.g., 80% weight given to the field of height) of thebasketball player, as provided within a field of the basketball player'suser profile, as being more relevant than the physical weight (e.g., 40%weight given to the field of weight) of the basketball player. Althoughanother college looking for a football player, may weight the physicalweight of the user more heavily than the height of the user.Accordingly, the height and physical weight numbers can be within adefined degree of tolerance as to what the college is looking for.

Likewise, if a student is applying for several colleges and the systemdetermines that there are other colleges to which the student can applybased on the student's qualifications meeting the standards of the othercolleges, then the system can suggest to the student to apply to thoseother colleges as well. Alternatively, if the system determines thatwith some additional extracurricular activities the student would be agood fit for a college that the student has not applied to, then thesystem can present this information to the student. For example, basedon a student's profile with respect to an application to enroll in oneschool (e.g., University of Georgia) the system can determine that thestudent is enrolled in two extracurricular activities, and based on anadmissions requirement (e.g., requires three extracurricular activities)set by another school (e.g., Georgia Tech), the system can send thestudent information pertaining to enrollment at the other school. Theinformation sent to the student can comprise a suggestion (e.g., if youparticipate in at least one additional extracurricular activity, thenyou can also qualify to apply to Georgia Tech). Additionally, the systemcan compare the student's application to a previous student'sapplication that was admitted to the same school(s) that the student isapplying to. Thus, the system can provide the student with data on howthe student compares to previously admitted students and generate dataassociated with the student's chances of admission.

In one or more other embodiments, a gamification component can promptusers to update their profiles from a gaming perspective. For example,the system can host a game, wherein certain fields of the user's profileare only opened for access once the user has completed some level of thegame and/or reached a gamification goal. Additionally, users can begrouped together so that they can see individual progress of anothergroup member's digital portfolio. For example, a prompt can be sent to afirst user, indicating that a second user has attained a certain profilegoal. Thus, the first user can be encouraged to perform some action tocatch up or surpass the second user's profile completion.

The user can also have the option to select education (student), sports(athlete), or enterprise (professional) at the beginning of his/herregistration process, which can then determine which fields arepresented to the user to complete for a specific template. Additionally,an artificial intelligence component can prepopulate (e.g., name,school, city, etc.) the fields based on previous data entered intoand/or obtained by the system.

In one or more embodiments the system can generate user profileanalytics based on a number of times the profile has been shared, anumber of times the profile has been viewed, a location associated withwhere a device displayed the profile, and/or the type of device wherethe profile was displayed (e.g., mobile device, tablet, desktopcomputer, etc.). Additionally, the system can generate data associatedwith what content of the profile was viewed the most. For example, howlong was a specific video viewed as opposed to other profileinformation, when was the content viewed, time of day, etc. Based on theanalytics, the users and the moderators can determine what content topost, when to post the content, and the best way maximize exposure. Forexample, based on where the scroll bar is relative to the page beingviewed, data can be generated to determine what content on the page theviewer is most likely viewing. Additionally, a time value can beassociated with how long the scroll bar remains in a certain areas, thusindicating how long a viewer is looking at a specific content. Tofurther refine this process, the viewing page can be partitioned intoseveral sections based on a defined degree of tolerance to determinewhat content is being viewed. For example, if the scroll bar is within apage partition that contains a picture of the user, then it can beassumed that the viewer is looking at the picture of the user. It shouldbe noted that the page partitions do not have to be visible to the user,but can be hidden so as not to skew the view of the profile.

In one or more other embodiments, when a user profile is shared, a fieldcan be displayed to request an input based on a type of lead. Forexample, a pop-up field can ask the user to confirm whether a lead is aqualified lead, an unqualified lead, an opportunity, a recurringcustomer, etc. Based on how the user populates the field, the lead data(e.g., what type of lead, how many leads, etc.) can be sent to themoderator. The lead data can help the digital profile user, and othersthat have access to the data, to assess the results of outreachassociated with the digital profile of the user. Additionally, when alead views a user profile, data associated with their viewing habits, asnoted above, can be generated by the system.

The user can create the digital portfolio as non-published while he/shecontinues to edit the digital portfolio. When the user publishes thepage, the viewer tracking can tell the viewer how many views the digitaluser profile is receiving, whether it is sent out via short messagingservice (SMS), email, a web link, etc. The viewer tracking can also helpthe user to determine which subject lines, videos, durations are beingbetter received based on analytic feedback that the user can receivefrom the system. Thus, a user can see how their profile views relate toother user profile views (e.g., is the content more effective thanothers) when compared.

In one or more other embodiments, the system can comprise a moderatoraccount. The moderator account can have a different interface than thatof the user profile account. However, the moderator account can reflectthe user account. For example, the moderator account for a student candisplay the eligibility of users, graduation year, grade point average(GPA), scholastic aptitude test (SAT), honors, certifications, skills,class rank, etc. The aforementioned factors can also be searched withinthe moderator account. Alternatively, the moderator account for anenterprise account, associated with user profiles, can display a totalnumber of shares, views, views by week, contact card downloads, averagesession times, etc.

In one or more other embodiments, the system can provide users with termrenewal data associated with their user profiles under an enterpriseaccount. For example, at the end of a term (e.g., thirty days beforeexpiration), a universal administrator account can receive anotification indicating that a moderator account is going to beterminated. Based on this data, the administrator can contact arepresentative of the moderator account to persuade the moderator torenew the moderator account. However, if the moderator does not renewthe moderator account, an option to develop a customer account can besent to a previous individual user of the moderator account.Consequently, the user can use the system without an enterprise account,thus eliminating the need for a moderator and the moderator account.However, any intellectual property or branding associated with theenterprise account for the moderator can be removed from the useraccount (e.g., copyrights, trademarks, company photos, internal companydata, etc.). Thus, some or all media associated with the moderatoraccount can be removed from the user account. Alternatively, the usercan still use any stock media (e.g., photos, videos, sound clips, etc.)from a default media library associated with the universal administratoraccount. Therefore, once a company cancels or fails to renew anenterprise account, the next time the user logs into their profile, theuser can receive a link asking if the user wants to register under acustomer account.

In one embodiment, described herein is a method comprising in responseto a user identity request, receiving, by a wireless network devicecomprising a processor, user identity data associated with the useridentity from a first mobile device. Based on the user identity data,the method can allocate, by the wireless network device, an interfacetemplate to the user identity, wherein the interface template comprisesscorecard data, from a second mobile device, associated with a scoringparameter related to an input field of the interface template. Themethod can comprise prompting, by the wireless network device, an input,via the first mobile device, to the input field of the interfacetemplate. Furthermore, in response to receiving input data associatedwith the input, the method can comprise comparing, by the wirelessnetwork device, the input data to the scoring parameter.

According to another embodiment, a system can facilitate, in response toa user identity request, receiving user identity data associated withthe user identity from a first mobile device. Based on the user identitydata, the system can facilitate allocating an interface template to theuser identity, wherein the interface template comprises scorecard data,from a second mobile device, associated with a scoring parameter relatedto an input field of the interface template. Additionally, the systemcan facilitate generating prompt data to prompt an input, via the firstmobile device, to the input field of the interface template.Furthermore, in response to receiving input data associated with theinput, the system can facilitate comparing the input data to the scoringparameter.

According to yet another embodiment, described herein is amachine-readable storage medium that can perform the operationscomprising facilitating sending a user identity request to a firstmobile device. In response to the facilitating the sending the useridentity request, the operations can comprise receiving user identitydata associated with the user identity from the first mobile device.Based on the user identity data, the operations can comprise allocatingan interface template to the user identity, wherein the interfacetemplate comprises scorecard data associated with a scoring parameterrelated to an input field of the interface template. Furthermore, theoperations can comprise prompting an input, via the first mobile device,to the input field of the interface template. Additionally, in responseto receiving input data via the input field, the operations can comprisecomparing the input data to the scoring parameter.

These and other embodiments or implementations are described in moredetail below with reference to the drawings.

Referring now to FIG. 1 , illustrated is an example wireless network 100comprising a software as a service platform for collaborative digitalportfolio user interfaces according to one or more embodiments.

The collaborative digital portfolio system can comprise a cloud-basedarchitecture to facilitate SaaS. For example, a mobile device 104 canmaintain a universal administrator account while a mobile device 106 canmaintain a moderator account. Both mobile devices 104, 106 cancommunicate with each other over a cloud network 102 that hosts theSasS. However, the permissions and rights granted to the mobile devices104, 106 can be different. For example, a universal administratoraccount maintained on the mobile device 104 can be responsible forsetting up the moderator account hosted at the mobile device 106. Themobile device 104 can load moderators and send invites to the mobiledevice 106. The moderators can add users, send invites to users, host anaccount media library, search and sort users, export reporting, etc.,via the mobile device 106. Alternatively, when the moderator account iswithin a defined period for expiration, a notification can be sent tothe universal administrator account at the mobile device 104, and anotification can be sent to the moderator account at the mobile device106. The notification can be sent from the cloud network 102 to notifythe moderator account to renew a license and/or subscription associatedwith the SaaS, or the notification can be sent from the cloud network102 to notify the universal administrator account to take an action insupport of or against moderator account renewal.

Referring now to FIG. 2 , illustrated is an example wireless network 200comprising a software as a service platform for collaborative digitalportfolio user interfaces according to one or more embodiments.Repetitive description of like elements employed in other embodimentsdescribed herein is omitted for sake of brevity.

FIG. 2 depicts another mobile device 202. The mobile device 202 can be auser device with access to the cloud network 102. However, the mobiledevice 202 can be granted rights and privileges from the moderatoraccount of the mobile device 106. For example, the mobile device 106 canadd a user associated with the mobile device 202 to the digitalportfolio platform. Once the user is added, a notification can be sentto the mobile device 202 prompting the user to register (e.g., set upemail, set up password, etc.) with the cloud network 102. When the userof the mobile device 202 has registered with the cloud network 102, theuser can be prompted to enter a code and/or to accept the terms ofservice associated with the cloud network 102. Based on the registrationprocess and/or data entered by the user during the registration process,the user can be provided with a template page. For example, if the userindicated that the user is a student during the registration process,then the user can be sent a student-based template to complete his/herdigital portfolio. The input fields associated with the student-basedtemplate can be default input fields and/or input fields selected by themoderator account for presentation to the user via the mobile device202. In one or more embodiments, it is also possible for the user to bepresented with various templates or a combination of templates based onthe information entered during their registration process. The user canpublish his/her digital profile, at any time, for others to view viatheir mobile devices. Alternatively, the moderator account can placetime restraints and/or restrictions on when the user is able to publishhis/her account.

Referring now to FIG. 3 , illustrated is an example wireless network 300comprising a software as a service platform for collaborative digitalportfolio user interfaces according to one or more embodiments.Repetitive description of like elements employed in other embodimentsdescribed herein is omitted for sake of brevity.

As depicted in FIG. 3 , another mobile device 302 can communicate withthe cloud network 102. However, the mobile device 302 can only readdigital portfolios and not write, modify, and/or edit the digitalportfolios. The mobile device 302 cannot have any administrator ormoderator rights. Consequently, any data added to a digital portfolio ofthe user identity associated with the mobile device 202 can be seen bythe mobile device 302. For example, after the user identity associatedwith the mobile device 202 publishes a digital portfolio associated withthe user identity, then the digital portfolio can be viewed by themobile device 302. The mobile device 302 can also receive (e.g., viatext, SMS, email, hyperlinks, etc.) a notification that an update hasbeen made to the digital portfolio of the mobile device 202. Based onthe mobile device 302 viewing the digital portfolio, viewer tracking(e.g., analytics, viewer trends, viewer location, time viewed, dateviewed, number of shares with others, impressions, clicks, downloads ofvirtual cards, calendar scheduling, time spent viewing a specific mediaof the digital portfolio, etc.) can be sent to the mobile devices 106,202, 104. The mobile device 302 can also download a virtual contact cardassociated with the digital portfolio, wherein the virtual card isrepresentative of the digital profile.

Referring now to FIG. 4 , illustrated is an example wireless networkcomprising a software as a service platform for collaborative digitalportfolio user interfaces with viewer analytics capabilities accordingto one or more embodiments. Repetitive description of like elementsemployed in other embodiments described herein is omitted for sake ofbrevity.

In one or more other embodiments, the mobile devices 302, 402 can seeviewer tracking (e.g., analytics, viewer trends, viewer location, timeviewed, date viewed, number of shares with others, impressions, clicks,downloads of virtual cards, calendar scheduling, time spent viewing aspecific media of the digital portfolio, etc.) associated with theirrespective views. For example, while viewing the digital portfolio ofthe mobile device 202, the mobile device 402 can display arepresentation that the mobile device 302 has viewed the digitalportfolio ten times within the last three days, thus indicating that auser identity associated with the mobile device 302 is highly interestedin the digital profile of the user identity associated with the mobiledevice 202.

Referring now to FIG. 5 , illustrated is an example wireless network 500comprising a software as a service platform for collaborative digitalportfolio user interfaces utilizing an account termination procedureaccording to one or more embodiments. Repetitive description of likeelements employed in other embodiments described herein is omitted forsake of brevity.

In one or more other embodiments, the system can provide users with termrenewal data associated with their user profiles under an enterpriseaccount. For example, at the end of a term (e.g., thirty days beforeexpiration), the universal administrator account associated with mobiledevice 104 can receive a notification indicating that the moderatoraccount associated with the mobile device 106 is going to be terminated.Based on this data, the administrator can contact a representative ofthe moderator account to persuade the moderator to renew the moderatoraccount. However, if the representative does not renew the moderatoraccount, an option to develop an external customer account can be sentto a previous individual user (e.g., user account associated with themobile device 202) of the moderator account. Consequently, the user canuse the system without an enterprise account, thus eliminating the needfor a moderator and the moderator account.

Additionally, any intellectual property and/or branding associated withthe enterprise account for the moderator can be removed from the useraccount (e.g., copyrights, trademarks, company photos, internal companydata, etc.) when the moderator account associated with the mobile device106 is terminated. Alternatively, the user account associated with themobile device 202 can still use any stock media (e.g., photos, videos,sound clips, etc.) from a default media library associated with theuniversal administrator account associated with the mobile device 104.Once a company cancels or fails to renew an enterprise account, the nexttime the user logs in to their digital profile, the user can receive alink asking if the user wants to register under a customer account andproceed accordingly.

Referring now to FIG. 6 , illustrated is an example schematic systemblock diagram for artificial intelligence related to a software as aservice platform for collaborative digital portfolio user interfacesaccording to one or more embodiments. Repetitive description of likeelements employed in other embodiments described herein is omitted forsake of brevity.

It should also be noted that an artificial intelligence (AI) componentcan facilitate automating one or more features in accordance with thedisclosed aspects. A memory and a processor as well as other componentscan include functionality with regard to the figures. The disclosedaspects in connection with a digital portfolio can employ variousAI-based schemes for carrying out various aspects thereof. For example,a process for detecting one or more trigger events, reducing a number ofinput fields as a result of the one or more trigger events, andmodifying one or more reported measurements, and so forth, can befacilitated with an example automatic classifier system and process. Inanother example, a process for penalizing data inputs while preferringanother data input can be facilitated with the example automaticclassifier system and process.

An example classifier can be a function that maps an input attributevector, x=(x1, x2, x3, x4, xn), to a confidence that the input belongsto a class, that is, f(x)=confidence(class). Such classification canemploy a probabilistic and/or statistical-based analysis (e.g.,factoring into the analysis utilities and costs) to prognose or infer anaction that can be automatically performed. In the case of digitalportfolios, for example, attributes can be a desired field for a user toprovide input. In another example, the attributes can be a weightassociated with a field of the user input.

A support vector machine (SVM) is an example of a classifier that can beemployed. The SVM can operate by finding a hypersurface in the space ofpossible inputs, which the hypersurface attempts to split the triggeringcriteria from the non-triggering events. Intuitively, this makes theclassification correct for testing data that is near, but not identicalto training data. Other directed and undirected model classificationapproaches include, for example, naïve Bayes, Bayesian networks,decision trees, neural networks, fuzzy logic models, and probabilisticclassification models providing different patterns of independence canbe employed. Classification as used herein also may be inclusive ofstatistical regression that is utilized to develop models of priority.

The disclosed aspects can employ classifiers that are explicitly trained(e.g., via a generic training data) as well as implicitly trained (e.g.,via observing mobile device usage as it relates to triggering events,observing network frequency/technology, receiving extrinsic information,and so on). For example, SVMs can be configured via a learning ortraining phase within a classifier constructor and feature selectionmodule. Thus, the classifier(s) can be used to automatically learn andperform a number of functions, including but not limited toautomatically populating a user field, modifying one or more user fieldinputs, restricting a field from being populated, and so forth. Thecriteria can include, but is not limited to, predefined values, fieldpopulation tables or other parameters, service provider preferencesand/or policies, and so on.

For example, a universal administrator account can load users into thecloud network 102 with coded sheet. The AI can send differentregistration pages (per a vertical platform enterprise versuseducator/sports), which collect different data for the universaladministrator based on a vertical solution. Thus, the AI can preloaddata already loaded by the universal administrator and/or preloadimplied data so that the user of the mobile device 202 increasesregistration efficiencies for a quicker on-boarding process. The AI canalso determine if the account is not renewing and prompt user to renewindividually, which can delete some or all previous account data.

As depicted in FIG. 6 , user metadata 602 and contact metadata 604 canbe sent to derived cadence trees 624. Other steps 606 of theregistration process can be sent to a label classification 608 and aBayesian data retrieval unit 618. Sent emails 610 and calls 612 can besent to an interaction unit 620. Additionally, the calls 612 and emailreplies 614 can be sent to an engagement scoring unit 622. Theinteraction unit 620 can receive output data from the Bayesian dataretrieval unit 618. Outputs from the interaction unit 620 and theengagement scoring unit 622 can be sent to the derived cadence trees624. Thus, based on the user metadata 602, the contact metadata 604, theinteraction unit 620 output, and the engagement scoring unit 622 output,the derived cadence trees can generate general insights at block 628 viaAI and an output to be sent to a cadence similarity measure unit 626.The cadence similarity measure unit 626 can also receive definedcadences 616. Consequently, based on the defined cadences 616 and thederived cadence trees 624 output, the cadence similarity measure unit626 can generate a validation at block 630 and/or a recommendation atblock 632 via the AI.

Referring now to FIG. 7 , illustrated is an example schematic systemflow diagram 700 for a software as a service for collaborative digitalportfolio user interfaces according to one or more embodiments.Repetitive description of like elements employed in other embodimentsdescribed herein is omitted for sake of brevity.

As depicted in the flow diagram of FIG. 7 , at block 702, users can beloaded into the digital portfolio system and sent invites from theuniversal administrator. At block 704, a moderator can add users andsend invites to user devices via a moderator account. At block 706, theuser can enter a code and receive the terms of service associated withthe account. If the user does not accept the terms of service at block708 associated with the account, then the process can end. However, ifthe user does accept the terms of service at block 708, then the usercan be presented with a registration page at block 710. The user canthen edit and publish the page at block 712. Based on views of the page,the system can generate page analytics at block 714 and the pageanalytics can be sent to users and moderators at block 716 prior to theprocess ending.

Referring now to FIG. 8 , illustrated is an example schematic systemblock diagram for collaborative digital portfolio user interfacesaccording to one or more embodiments. Repetitive description of likeelements employed in other embodiments described herein is omitted forsake of brevity.

In response to a user identity request, a method can comprise receiving,by a wireless network device comprising a processor, user identity dataassociated with the user identity from a first mobile device at element800. Based on the user identity data, the method can compriseallocating, by the wireless network device, an interface template to theuser identity at element 802, wherein the interface template comprisesscorecard data, from a second mobile device, associated with a scoringparameter related to an input field of the interface template. Themethod can also comprise prompting, by the wireless network device, aninput, via the first mobile device, to the input field of the interfacetemplate at element 804. Furthermore, in response to receiving inputdata associated with the input, the method can comprise comparing, bythe wireless network device, the input data to the scoring parameter atelement 806.

Referring now to FIG. 9 , illustrated is an example schematic methodblock diagram for collaborative digital portfolio user interfacesaccording to one or more embodiments. Repetitive description of likeelements employed in other embodiments described herein is omitted forsake of brevity.

In response to a user identity request, a system can comprise receivinguser identity data associated with the user identity from a first mobiledevice at element 900. Based on the user identity data, the system cancomprise allocating an interface template to the user identity atelement 902, wherein the interface template comprises scorecard data,from a second mobile device, associated with a scoring parameter relatedto an input field of the interface template. At element 904, the systemcan comprise generating prompt data to prompt an input, via the firstmobile device, to the input field of the interface template.Additionally, in response to receiving input data associated with theinput, the system can comprise comparing the input data to the scoringparameter at element 906.

Referring now to FIG. 10 , illustrated is an example schematicmachine-readable medium block diagram for collaborative digitalportfolio user interfaces according to one or more embodiments.Repetitive description of like elements employed in other embodimentsdescribed herein is omitted for sake of brevity.

At element 1000 a machine-readable medium can comprise facilitatingsending a user identity request to a first mobile device. In response tothe facilitating the sending the user identity request, themachine-readable medium can comprise receiving user identity dataassociated with the user identity from the first mobile device atelement 1002. Additionally, based on the user identity data, themachine-readable medium can comprise allocating an interface template tothe user identity at element 1004, wherein the interface templatecomprises scorecard data associated with a scoring parameter related toan input field of the interface template. Furthermore, themachine-readable medium can comprise prompting an input, via the firstmobile device, to the input field of the interface template at element1006, and in response to receiving input data via the input field,comparing the input data to the scoring parameter at element 1008.

Referring now to FIG. 11 , illustrated is a schematic block diagram ofan exemplary end-user device such as a mobile device 1100 capable ofconnecting to a network in accordance with some embodiments describedherein. Although a mobile handset 1100 is illustrated herein, it will beunderstood that other devices can be a mobile device, and that themobile handset 1100 is merely illustrated to provide context for theembodiments of the various embodiments described herein. The followingdiscussion is intended to provide a brief, general description of anexample of a suitable environment 1100 in which the various embodimentscan be implemented. While the description includes a general context ofcomputer-executable instructions embodied on a machine-readable storagemedium, those skilled in the art will recognize that the innovation alsocan be implemented in combination with other program modules and/or as acombination of hardware and software.

Generally, applications (e.g., program modules) can include routines,programs, components, data structures, etc., that perform particulartasks or implement particular abstract data types. Moreover, thoseskilled in the art will appreciate that the methods described herein canbe practiced with other system configurations, includingsingle-processor or multiprocessor systems, minicomputers, mainframecomputers, as well as personal computers, hand-held computing devices,microprocessor-based or programmable consumer electronics, and the like,each of which can be operatively coupled to one or more associateddevices.

A computing device can typically include a variety of machine-readablemedia. Machine-readable media can be any available media that can beaccessed by the computer and includes both volatile and non-volatilemedia, removable and non-removable media. By way of example and notlimitation, computer-readable media can comprise computer storage mediaand communication media. Computer storage media can include volatileand/or non-volatile media, removable and/or non-removable mediaimplemented in any method or technology for storage of information, suchas computer-readable instructions, data structures, program modules orother data. Computer storage media can include, but is not limited to,RAM, ROM, EEPROM, flash memory or other memory technology, CD ROM,digital video disk (DVD) or other optical disk storage, magneticcassettes, magnetic tape, magnetic disk storage or other magneticstorage devices, or any other medium which can be used to store thedesired information and which can be accessed by the computer.

Communication media typically embodies computer-readable instructions,data structures, program modules or other data in a modulated datasignal such as a carrier wave or other transport mechanism, and includesany information delivery media. The term “modulated data signal” means asignal that has one or more of its characteristics set or changed insuch a manner as to encode information in the signal. By way of example,and not limitation, communication media includes wired media such as awired network or direct-wired connection, and wireless media such asacoustic, RF, infrared and other wireless media. Combinations of the anyof the above should also be included within the scope ofcomputer-readable media.

The handset 1100 includes a processor 1102 for controlling andprocessing all onboard operations and functions. A memory 1104interfaces to the processor 1102 for storage of data and one or moreapplications 1106 (e.g., a video player software, user feedbackcomponent software, etc.). Other applications can include voicerecognition of predetermined voice commands that facilitate initiationof the user feedback signals. The applications 1106 can be stored in thememory 1104 and/or in a firmware 1108, and executed by the processor1102 from either or both the memory 1104 or/and the firmware 1108. Thefirmware 1108 can also store startup code for execution in initializingthe handset 1100. A communications component 1110 interfaces to theprocessor 1102 to facilitate wired/wireless communication with externalsystems, e.g., cellular networks, VoIP networks, and so on. Here, thecommunications component 1110 can also include a suitable cellulartransceiver 1111 (e.g., a GSM transceiver) and/or an unlicensedtransceiver 1113 (e.g., Wi-Fi, WiMax) for corresponding signalcommunications. The handset 1100 can be a device such as a cellulartelephone, a PDA with mobile communications capabilities, andmessaging-centric devices. The communications component 1110 alsofacilitates communications reception from terrestrial radio networks(e.g., broadcast), digital satellite radio networks, and Internet-basedradio services networks.

The handset 1100 includes a display 1112 for displaying text, images,video, telephony functions (e.g., a Caller ID function), setupfunctions, and for user input. For example, the display 1112 can also bereferred to as a “screen” that can accommodate the presentation ofmultimedia content (e.g., music metadata, messages, wallpaper, graphics,etc.). The display 1112 can also display videos and can facilitate thegeneration, editing and sharing of video quotes. A serial I/O interface1114 is provided in communication with the processor 1102 to facilitatewired and/or wireless serial communications (e.g., USB, and/or IEEE1394) through a hardwire connection, and other serial input devices(e.g., a keyboard, keypad, and mouse). This supports updating andtroubleshooting the handset 1100, for example. Audio capabilities areprovided with an audio I/O component 1116, which can include a speakerfor the output of audio signals related to, for example, indication thatthe user pressed the proper key or key combination to initiate the userfeedback signal. The audio I/O component 1116 also facilitates the inputof audio signals through a microphone to record data and/or telephonyvoice data, and for inputting voice signals for telephone conversations.

The handset 1100 can include a slot interface 1118 for accommodating aSIC (Subscriber Identity Component) in the form factor of a cardSubscriber Identity Module (SIM) or universal SIM 1120, and interfacingthe SIM card 1120 with the processor 1102. However, it is to beappreciated that the SIM card 1120 can be manufactured into the handset1100, and updated by downloading data and software.

The handset 1100 can process IP data traffic through the communicationcomponent 1110 to accommodate IP traffic from an IP network such as, forexample, the Internet, a corporate intranet, a home network, a personarea network, etc., through an ISP or broadband cable provider. Thus,VoIP traffic can be utilized by the handset 1100 and IP-based multimediacontent can be received in either an encoded or decoded format.

A video processing component 1122 (e.g., a camera) can be provided fordecoding encoded multimedia content. The video processing component 1122can aid in facilitating the generation, editing and sharing of videoquotes. The handset 1100 also includes a power source 1124 in the formof batteries and/or an AC power subsystem, which power source 1124 caninterface to an external power system or charging equipment (not shown)by a power I/O component 1126.

The handset 1100 can also include a video component 1130 for processingvideo content received and, for recording and transmitting videocontent. For example, the video component 1130 can facilitate thegeneration, editing and sharing of video quotes. A location trackingcomponent 1132 facilitates geographically locating the handset 1100. Asdescribed hereinabove, this can occur when the user initiates thefeedback signal automatically or manually. A user input component 1134facilitates the user initiating the quality feedback signal. The userinput component 1134 can also facilitate the generation, editing andsharing of video quotes. The user input component 1134 can include suchconventional input device technologies such as a keypad, keyboard,mouse, stylus pen, and/or touch screen, for example.

Referring again to the applications 1106, a hysteresis component 1136facilitates the analysis and processing of hysteresis data, which isutilized to determine when to associate with the access point. Asoftware trigger component 1138 can be provided that facilitatestriggering of the hysteresis component 1138 when the Wi-Fi transceiver1113 detects the beacon of the access point. A SIP client 1140 enablesthe handset 1100 to support SIP protocols and register the subscriberwith the SIP registrar server. The applications 1106 can also include aclient 1142 that provides at least the capability of discovery, play andstore of multimedia content, for example, music.

The handset 1100, as indicated above related to the communicationscomponent 810, includes an indoor network radio transceiver 1113 (e.g.,Wi-Fi transceiver). This function supports the indoor radio link, suchas IEEE 802.11, for the dual-mode GSM handset 1100. The handset 1100 canaccommodate at least satellite radio services through a handset that cancombine wireless voice and digital radio chipsets into a single handhelddevice.

Referring now to FIG. 12 , there is illustrated a block diagram of acomputer 1200 operable to execute a system architecture that facilitatesestablishing a transaction between an entity and a third party. Thecomputer 1200 can provide networking and communication capabilitiesbetween a wired or wireless communication network and a server and/orcommunication device. In order to provide additional context for variousaspects thereof, FIG. 12 and the following discussion are intended toprovide a brief, general description of a suitable computing environmentin which the various aspects of the innovation can be implemented tofacilitate the establishment of a transaction between an entity and athird party. While the description above is in the general context ofcomputer-executable instructions that can run on one or more computers,those skilled in the art will recognize that the innovation also can beimplemented in combination with other program modules and/or as acombination of hardware and software.

Generally, program modules include routines, programs, components, datastructures, etc., that perform particular tasks or implement particularabstract data types. Moreover, those skilled in the art will appreciatethat the inventive methods can be practiced with other computer systemconfigurations, including single-processor or multiprocessor computersystems, minicomputers, mainframe computers, as well as personalcomputers, hand-held computing devices, microprocessor-based orprogrammable consumer electronics, and the like, each of which can beoperatively coupled to one or more associated devices.

The illustrated aspects of the innovation can also be practiced indistributed computing environments where certain tasks are performed byremote processing devices that are linked through a communicationsnetwork. In a distributed computing environment, program modules can belocated in both local and remote memory storage devices.

Computing devices typically include a variety of media, which caninclude computer-readable storage media or communications media, whichtwo terms are used herein differently from one another as follows.

Computer-readable storage media can be any available storage media thatcan be accessed by the computer and includes both volatile andnonvolatile media, removable and non-removable media. By way of example,and not limitation, computer-readable storage media can be implementedin connection with any method or technology for storage of informationsuch as computer-readable instructions, program modules, structureddata, or unstructured data. Computer-readable storage media can include,but are not limited to, RAM, ROM, EEPROM, flash memory or other memorytechnology, CD-ROM, digital versatile disk (DVD) or other optical diskstorage, magnetic cassettes, magnetic tape, magnetic disk storage orother magnetic storage devices, or other tangible and/or non-transitorymedia which can be used to store desired information. Computer-readablestorage media can be accessed by one or more local or remote computingdevices, e.g., via access requests, queries or other data retrievalprotocols, for a variety of operations with respect to the informationstored by the medium.

Communications media can embody computer-readable instructions, datastructures, program modules or other structured or unstructured data ina data signal such as a modulated data signal, e.g., a carrier wave orother transport mechanism, and includes any information delivery ortransport media. The term “modulated data signal” or signals refers to asignal that has one or more of its characteristics set or changed insuch a manner as to encode information in one or more signals. By way ofexample, and not limitation, communication media include wired media,such as a wired network or direct-wired connection, and wireless mediasuch as acoustic, RF, infrared and other wireless media.

With reference to FIG. 12 , implementing various aspects describedherein with regards to the end-user device can include a computer 1200,the computer 1200 including a processing unit 1204, a system memory 1206and a system bus 1208. The system bus 1208 couples system componentsincluding, but not limited to, the system memory 1206 to the processingunit 1204. The processing unit 1204 can be any of various commerciallyavailable processors. Dual microprocessors and other multi-processorarchitectures can also be employed as the processing unit 1204.

The system bus 1208 can be any of several types of bus structure thatcan further interconnect to a memory bus (with or without a memorycontroller), a peripheral bus, and a local bus using any of a variety ofcommercially available bus architectures. The system memory 1206includes read-only memory (ROM) 1227 and random access memory (RAM)1212. A basic input/output system (BIOS) is stored in a non-volatilememory 1227 such as ROM, EPROM, EEPROM, which BIOS contains the basicroutines that help to transfer information between elements within thecomputer 1200, such as during start-up. The RAM 1212 can also include ahigh-speed RAM such as static RAM for caching data.

The computer 1200 further includes an internal hard disk drive (HDD)1214 (e.g., EIDE, SATA), which internal hard disk drive 1214 can also beconfigured for external use in a suitable chassis (not shown), amagnetic floppy disk drive (FDD) 1216, (e.g., to read from or write to aremovable diskette 1218) and an optical disk drive 1220, (e.g., readinga CD-ROM disk 1222 or, to read from or write to other high capacityoptical media such as the DVD). The hard disk drive 1214, magnetic diskdrive 1216 and optical disk drive 1220 can be connected to the systembus 1208 by a hard disk drive interface 1224, a magnetic disk driveinterface 1226 and an optical drive interface 1228, respectively. Theinterface 1224 for external drive implementations includes at least oneor both of Universal Serial Bus (USB) and IEEE 1294 interfacetechnologies. Other external drive connection technologies are withincontemplation of the subject innovation.

The drives and their associated computer-readable media providenonvolatile storage of data, data structures, computer-executableinstructions, and so forth. For the computer 1200 the drives and mediaaccommodate the storage of any data in a suitable digital format.Although the description of computer-readable media above refers to aHDD, a removable magnetic diskette, and a removable optical media suchas a CD or DVD, it should be appreciated by those skilled in the artthat other types of media which are readable by a computer 1200, such aszip drives, magnetic cassettes, flash memory cards, cartridges, and thelike, can also be used in the exemplary operating environment, andfurther, that any such media can contain computer-executableinstructions for performing the methods of the disclosed innovation.

A number of program modules can be stored in the drives and RAM 1212,including an operating system 1230, one or more application programs1232, other program modules 1234 and program data 1236. All or portionsof the operating system, applications, modules, and/or data can also becached in the RAM 1212. It is to be appreciated that the innovation canbe implemented with various commercially available operating systems orcombinations of operating systems.

A user can enter commands and information into the computer 1200 throughone or more wired/wireless input devices, e.g., a keyboard 1238 and apointing device, such as a mouse 1240. Other input devices (not shown)may include a microphone, an IR remote control, a joystick, a game pad,a stylus pen, touch screen, or the like. These and other input devicesare often connected to the processing unit 1204 through an input deviceinterface 1242 that is coupled to the system bus 1208, but can beconnected by other interfaces, such as a parallel port, an IEEE 2394serial port, a game port, a USB port, an IR interface, etc.

A monitor 1244 or other type of display device is also connected to thesystem bus 1208 through an interface, such as a video adapter 1246. Inaddition to the monitor 1244, a computer 1200 typically includes otherperipheral output devices (not shown), such as speakers, printers, etc.

The computer 1200 can operate in a networked environment using logicalconnections by wired and/or wireless communications to one or moreremote computers, such as a remote computer(s) 1248. The remotecomputer(s) 1248 can be a workstation, a server computer, a router, apersonal computer, portable computer, microprocessor-based entertainmentdevice, a peer device or other common network node, and typicallyincludes many or all of the elements described relative to the computer,although, for purposes of brevity, only a memory/storage device 1250 isillustrated. The logical connections depicted include wired/wirelessconnectivity to a local area network (LAN) 1252 and/or larger networks,e.g., a wide area network (WAN) 1254. Such LAN and WAN networkingenvironments are commonplace in offices and companies, and facilitateenterprise-wide computer networks, such as intranets, all of which mayconnect to a global communications network, e.g., the Internet.

When used in a LAN networking environment, the computer 1200 isconnected to the local network 1252 through a wired and/or wirelesscommunication network interface or adapter 1256. The adapter 1256 mayfacilitate wired or wireless communication to the LAN 1252, which mayalso include a wireless access point disposed thereon for communicatingwith the wireless adapter 1256.

When used in a WAN networking environment, the computer 1200 can includea modem 1258, or is connected to a communications server on the WAN1254, or has other means for establishing communications over the WAN1254, such as by way of the Internet. The modem 1258, which can beinternal or external and a wired or wireless device, is connected to thesystem bus 1208 through the input device interface 1242. In a networkedenvironment, program modules depicted relative to the computer, orportions thereof, can be stored in the remote memory/storage device1250. It will be appreciated that the network connections shown areexemplary and other means of establishing a communications link betweenthe computers can be used.

The computer is operable to communicate with any wireless devices orentities operatively disposed in wireless communication, e.g., aprinter, scanner, desktop and/or portable computer, portable dataassistant, communications satellite, any piece of equipment or locationassociated with a wirelessly detectable tag (e.g., a kiosk, news stand,restroom), and telephone. This includes at least Wi-Fi and Bluetooth™wireless technologies. Thus, the communication can be a predefinedstructure as with a conventional network or simply an ad hoccommunication between at least two devices.

Wi-Fi, or Wireless Fidelity, allows connection to the Internet from acouch at home, a bed in a hotel room, or a conference room at work,without wires. Wi-Fi is a wireless technology similar to that used in acell phone that enables such devices, e.g., computers, to send andreceive data indoors and out; anywhere within the range of a basestation. Wi-Fi networks use radio technologies called IEEE 802.11 (a, b,g, etc.) to provide secure, reliable, fast wireless connectivity. AWi-Fi network can be used to connect computers to each other, to theInternet, and to wired networks (which use IEEE 802.3 or Ethernet).Wi-Fi networks operate in the unlicensed 2.4 and 5 GHz radio bands, atan 11 Mbps (802.11a) or 54 Mbps (802.11b) data rate, for example, orwith products that contain both bands (dual band), so the networks canprovide real-world performance similar to the basic 10BaseT wiredEthernet networks used in many offices.

The above description of illustrated embodiments of the subjectdisclosure, including what is described in the Abstract, is not intendedto be exhaustive or to limit the disclosed embodiments to the preciseforms disclosed. While specific embodiments and examples are describedherein for illustrative purposes, various modifications are possiblethat are considered within the scope of such embodiments and examples,as those skilled in the relevant art can recognize.

In this regard, while the subject matter has been described herein inconnection with various embodiments and corresponding FIGs, whereapplicable, it is to be understood that other similar embodiments can beused or modifications and additions can be made to the describedembodiments for performing the same, similar, alternative, or substitutefunction of the disclosed subject matter without deviating therefrom.Therefore, the disclosed subject matter should not be limited to anysingle embodiment described herein, but rather should be construed inbreadth and scope in accordance with the appended claims below.

What is claimed is:
 1. A method, comprising: receiving, by networkequipment comprising a processor, an indication that a digital profileassociated with a first identity of a first user has been shared with afirst mobile device; in response to the digital profile being determinedto have been viewed at the first mobile device in association with asecond identity of a second user, generating, by the network equipment,time duration data representative of a length of time that a firstcontent part associated with the digital profile was viewed at the firstmobile device in association with the second identity, the first contentpart being different than a second content part associated with thedigital profile, wherein the time duration data is based at least inpart on a location of a user interface element of a user interface ofthe first mobile device in relation to the first content part and apreviously defined partition of the digital profile that is not visibleto the second user, wherein the previously defined partition is definedprior to the digital profile being viewed in association with the secondidentity, wherein the previously defined partition is different than thefirst content part, and wherein the first content part has beendetermined to be within the previously defined partition; and inresponse to the indication that the digital profile has been shared withthe first mobile device, sending, by the network equipment to a secondmobile device, viewer data representative of a number of times that thedigital profile has been shared with the first mobile device, a type ofthe first mobile device, and the time duration data.
 2. The method ofclaim 1, further comprising: generating, by the network equipment,output data to be sent to the first mobile device.
 3. The method ofclaim 1, further comprising: allocating, by the network equipment, aninterface template to the first identity, wherein the interface templatecomprises scorecard data, from the second mobile device, associated witha scoring parameter related to an input field of the interface template.4. The method of claim 1, further comprising: allocating, by the networkequipment, an interface template to the first identity, wherein a firstinput field of the interface template is weighted differently than asecond input field of the interface template.
 5. The method of claim 1,further comprising: allocating, by the network equipment, an interfacetemplate to the first identity; and prompting, by the network equipment,an input, via the first mobile device, to an input field of theinterface template.
 6. The method of claim 1, further comprising: inresponse to a defined function of time being determined to have beensatisfied, facilitating, by the network equipment, switching from usinga first input of a first interface template allocated to the firstidentity to using a second input of a second interface template.
 7. Themethod of claim 1, wherein the interface template is a first interfacetemplate, and further comprising: in response to a defined function oftime being determined to have been satisfied, moving, by the networkequipment, a first input field of a first interface template to a secondinput field of a second interface template.
 8. A system, comprising: aprocessor; and a memory that stores executable instructions that, whenexecuted by the processor, facilitate performance of operations,comprising: receiving an indication that a digital profile associatedwith a first user has been shared with a first mobile device; inresponse to a second user of the first mobile device being determined tohave viewed the digital profile, generating time span datarepresentative of a time span over which the second user has beendetermined to have viewed a first content part of the digital profile ofthe first user as opposed to a second content part associated with thedigital profile of the first user, wherein the time span data is basedat least in part on a location of a user interface element of the firstmobile device relative to the first content part and a previouslydefined partition of the digital profile of the first user, wherein thepreviously defined partition is different than the first content part,and wherein the previously defined partition is defined prior to thesecond user being determined to have viewed the digital profile; and inresponse to the indication that the digital profile has been shared withthe first mobile device, sending, to a second mobile device, viewer datarepresentative of a number of times that the digital profile has beenshared with a third mobile device, a type of the third mobile device,and the time span data representative of the time span over which thesecond user has been determined to have viewed the first content part ofthe digital profile, wherein the viewer data facilitates a modificationof the digital profile at the second mobile device.
 9. The system ofclaim 8, wherein the operations further comprise: based on user identitydata associated with a user identity of the first user, allocating aninterface template to the user identity, wherein the interface templatecomprises scorecard data received from the second mobile device andrepresentative of a scoring parameter related to an input field of theinterface template.
 10. The system of claim 9, wherein the interfacetemplate is a first interface template, and wherein the operationsfurther comprise: in response to a re-allocation condition beingsatisfied, allocating a second interface template, different than thefirst interface template, to the user identity.
 11. The system of claim9, wherein the interface template comprises an image from a data storeassociated with a moderator of the interface template.
 12. The system ofclaim 8, wherein the operations further comprise: publishing input data,representative of an input to the interface template, in accordance withthe digital profile associated with the user identity.
 13. The system ofclaim 12, wherein the input data comprises a statistical valueassociated with the input to an input field.
 14. The system of claim 8,wherein the operations further comprise: generating statistical dataassociated with a number of views of the digital profile associated withthe user identity.
 15. A non-transitory machine-readable medium,comprising executable instructions that, when executed by a processor,facilitate performance of operations, comprising: receiving anindication that a digital profile associated with a first user identityof a first user has been shared with mobile devices; generatingtimestamp data representative of an amount of time that a first contentpart of the digital profile associated with the first user identity, asopposed to a second content part of the digital profile associated withthe first user identity, has been viewed at a first mobile device, ofthe mobile devices, in association with a second user identity, asopposed to the first user identity, wherein generating the timestampdata comprises generating the timestamp data based at least in part on alocation of a user interface element relative to the first content partand a previously defined partition of the digital profile, wherein thepreviously defined partition was defined prior to the first content partbeing viewed in association with the second user identity; in responseto generating the timestamp data, enabling the first content part to beposted for viewing by a second mobile device of the mobile devices; andin response to the indication that the digital profile has been sharedwith the mobile devices, sending, to a third mobile device, viewer datarepresentative of types of the mobile devices, the timestamp data, and anumber of the mobile devices with which the digital profile has beenshared.
 16. The non-transitory machine-readable medium of claim 15,wherein the operations further comprise: based on comparing input datato a scoring parameter, generating digital profile data associated withthe first user identity to be added to, or usable to modify, the digitalprofile, resulting in a modified digital profile.
 17. The non-transitorymachine-readable medium of claim 16, wherein the operations furthercomprise: sending modified digital profile data representative of themodified digital profile to the first mobile device.
 18. Thenon-transitory machine-readable medium of claim 15, wherein theoperations further comprise: sending, to the third mobile device, countdata representative of a number of times that an interface template hasbeen determined to have been viewed by the mobile devices.
 19. Thenon-transitory machine-readable medium of claim 18, wherein the countdata is sent to at least one of the first mobile device or the secondmobile device.
 20. The non-transitory machine-readable medium of claim15, wherein the user interface element comprises a scroll bar.